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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 8808
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words or phrases associated with the letter 'M'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     solicitation
    -0.62
     Dispatch
    -0.62
     Breaking
    -0.62
     tallest
    -0.62
     evid
    -0.62
     Ripple
    -0.61
     begg
    -0.60
     Pitch
    -0.60
     Belt
    -0.60
     Mechdragon
    -0.59
    POSITIVE LOGITS
    igrant
    1.22
    antle
    1.22
    ornings
    1.17
    ONEY
    1.17
    OST
    1.17
    aternal
    1.16
    oust
    1.15
    ISSION
    1.14
    OTHER
    1.14
    astern
    1.14
    Activations Density 0.040%

    No Known Activations